Oliver Johnson
Impact in
- Statistics and Probability top 2%
- Random Matrices and Applications
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- Statistical Mechanics and Entropy
Papers in
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- Bayesian Methods and Mixture Models 6
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- Random Matrices and Applications 9
- Markov Chains and Monte Carlo Methods 8
- Co-authors
- Matthew Aldridge (6 shared papers)Jonathan Scarlett (3 shared papers)Ioannis Kontoyiannis (8 shared papers)Mokshay Madiman (4 shared papers)Bogdan Warinschi (1 shared paper)Saikat Guha (2 shared papers)Peter Harremoës (3 shared papers)Christina Goldschmidt (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (6 papers)Bulletin of the Chemical Society of Japan (6 papers)SAE technical papers on CD-ROM/SAE technical paper series (3 papers)Journal of Applied Probability (3 papers)Bernoulli (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Oliver Johnson
68 papers receiving 944 citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 180
- Statistical and Nonlinear Physics 160
- Applied Mathematics 115
- Infectious Diseases 176
- Discrete Mathematics and Combinatorics 29
Countries citing papers authored by Oliver Johnson
This map shows the geographic impact of Oliver Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Oliver Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Johnson more than expected).
Fields of papers citing papers by Oliver Johnson
This network shows the impact of papers produced by Oliver Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Oliver Johnson. The network helps show where Oliver Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 161 | |
| 2 | 2019 | 95 | |
| 3 | 2014 | 77 | |
| 4 | 2004 | 68 | |
| 5 | 2019 | 47 | |
| 6 | 2006 | 44 | |
| 7 | 2019 | 28 | |
| 8 | Proceedings of the 2017 IEEE International Symposium on Information Theory (ISIT) | 2017 | 27 |
| 9 | 1973 | 26 | |
| 10 | 2011 | 24 | |
| 11 | 1991 | 23 | |
| 12 | 2010 | 23 | |
| 13 | 2007 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2006 | 20 | |
| 16 | 2010 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2015 | 16 | |
| 19 | 2005 | 15 | |
| 20 | 2011 | 14 |
About Oliver Johnson
Oliver Johnson is a scholar working on Artificial Intelligence, Statistics and Probability, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 76 papers that have together received 993 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (11 papers), Statistical Mechanics and Entropy (11 papers), Random Matrices and Applications (9 papers), Markov Chains and Monte Carlo Methods (8 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), SARS-CoV-2 detection and testing (7 papers), Electron and X-Ray Spectroscopy Techniques (7 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (180 citations), Statistical and Nonlinear Physics (160 citations), Applied Mathematics (115 citations), Infectious Diseases (176 citations) and Discrete Mathematics and Combinatorics (29 citations). Oliver Johnson has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Matthew Aldridge, Jonathan Scarlett, Ioannis Kontoyiannis, Mokshay Madiman, Bogdan Warinschi, Saikat Guha, Peter Harremoës, Christina Goldschmidt, Michael J. O. Pocock and Yaming Yu. Their work appears in journals such as IEEE Transactions on Information Theory, Bulletin of the Chemical Society of Japan, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Applied Probability and Bernoulli.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.